Triple
T7258919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack R. Gage |
E159595
|
entity |
| Predicate | officeStartQualifier |
P75983
|
FINISHED |
| Object | early 1960s |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: early 1960s | Statement: [Jack R. Gage, officeStartQualifier, early 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartQualifier Context triple: [Jack R. Gage, officeStartQualifier, early 1960s]
-
A.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
B.
officeStartFor
Indicates the time or date at which an entity begins its term, role, or period of service in an office or official position.
-
C.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
-
D.
officeStartTime (Secretary of Commerce)
Indicates the date and time at which a person begins serving in the role of Secretary of Commerce.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:57 p.m.